AI & Machine Learning Engineer - Senior - Consulting - Location OPEN

Ernst & Young - Woodbridge Township, NJ

Full-time - Senior

Woodbridge Township, NJ

Professional, Scientific, and Technical Services

About the position

The AI & Machine Learning Engineer - Senior Consultant role at EY involves working closely with clients to deliver advanced data science and big data technologies. The position requires a passion for continuous learning and innovation, as well as the ability to influence new working methods to provide relevant solutions. The role is dynamic, with a focus on technical development and collaboration within a diverse team to tackle complex computational problems.

Responsibilities

• Work with a variety of clients to deliver data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources.
• Guide clients through the complexities of modern data science, analytics, and software engineering.
• Provide technical guidance and perform development tasks to ensure data science solutions are engineered and maintained effectively.
• Collaborate with a dynamic team of scientists and engineers to ideate and pursue new opportunities.

Requirements

• Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Experience using Generative AI models and frameworks such as OpenAI family, Dall-e, and Langchain.
• Experience with popular ML packages like scikit-learn, Pytorch, and ONNX.
• Extensive experience using DevOps tools like GIT and Azure DevOps, and Agile tools such as Jira.
• Solid understanding of Machine Learning workflows including data ingestion, analysis, transformation, and evaluation.
• Experience with MLOps methods and platforms such as MLFlow.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining ML models and frameworks.

Nice-to-haves

• Advanced academic degrees or equivalent experience in industry.

Benefits

• Inclusive culture and support for career development.
• Opportunities for continuous learning and professional growth.